Caitlin Sullivan

Caitlin Sullivan

16.8K Subscribers

Ex-Head of UXR in Product Team - Spotify Business, Advisor, Top 100

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Caitlin Sullivan will turn you into an AI-native insights operator

I was already using AI to get validated customer insights in half the time.

Then I spent months building the systems that made it actually reliable —validated insights, automated workflows, evals that prove what's working.

Now I help PMs, growth leaders, designers, and customer insights teams do the same:

-> Cut through customer data noise, surface real signal, and build insights they can defend in a product decision.

I've stress-tested these systems with teams at YouTube, Canva, Meta, and Figma, and advise companies like Maze on delivering better insights to customers using their tools.

My courses package what I've built into hands-on workflows you can run from day one — so you can skip months of thinking your insights were good enough (and finding out too late they weren't).

Trusted to train these teams in AI discovery:
YouTube
Canva
Figma
Ramp
Meta

Alumni reviews

The material I learned here was immediately applicable to my job. I also appreciated the time that was spent answering our specific questions.
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Carolyn

Cohort 7
Senior UX Researcher · Bonterra
Caitlin is one of the leaders in this space right now and this course certainly shows it. The content within is absolute gold for anyone in the research space and the weekly live calls Caitlin conducts are worth every minute. I'm already putting into practise what i've learned and are seeing tangible benefits.

Paul

Cohort 7
UX Research Lead · NEXT PLC
Caitlin gives a lot of useful information and makes the course very hands-on.
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Mig-lė

Cohort 7
Insight & Research Manager · Telia
This course is exceptionally valuable for anyone looking to integrate AI into research and qualitative analysis with confidence. It goes far beyond prompt engineering by teaching practical, repeatable systems for analyzing datasets, building reliable AI-assisted workflows, and implementing validation processes that keep the human in the loop. One of the most valuable takeaways is learning how to systematically verify AI-generated insights, identify potential biases, and create quality checks that make AI outputs more trustworthy. The frameworks for benchmarking tools, experimenting with different AI approaches, and building multi-step analysis workflows are immediately applicable to real-world research.

Camilo

Cohort 7
Senior Manager User Experience · RBC
Caitlin provided such valuable frameworks to build AI assisted workflows within my research processes. She has a huge amount of content and provides answers to questions immediately. Her feedback during the course was truly valuable. This course changes inherently the way you approach AI and utilize AI in your own work - it goes beyond just providing "prompts". I truly appreciate her!
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Zehra

Cohort 7
Senior UX Researcher · Kaiser X Labs I A company by Allianz